WC 2026 · Forecasting Oxford Football Forecasting
🏴󠁧󠁢󠁳󠁣󠁴󠁿 Scotland UEFA Elo 1,782 · world 33rd
21 / 33 / 46 win · draw · win most likely 0–1
🇲🇦 Morocco CAF Elo 1,827 · world 12th
Group
C
Date
Friday 19 June 2026
Kick-off
22:00 UTC
Venue
Boston Stadium, Foxborough

Fig. V7 Ensemble · Group C

Scotland v Morocco — scoreline probabilities

0 Scotland 0–0 Morocco · 16.21% 16 Scotland 0–1 Morocco · 16.77% (most likely) 17 Scotland 0–2 Morocco · 10.46% 10 Scotland 0–3 Morocco · 4.10% 4.1 Scotland 0–4 Morocco · 1.21% 1.2 Scotland 0–5 Morocco · 0.28% Scotland 0–6 Morocco · 0.06% Scotland 0–7 Morocco · 0.01% 49% 1 Scotland 1–0 Morocco · 9.71% 10 Scotland 1–1 Morocco · 13.68% 14 Scotland 1–2 Morocco · 7.46% 7.5 Scotland 1–3 Morocco · 2.92% 2.9 Scotland 1–4 Morocco · 0.86% 0.9 Scotland 1–5 Morocco · 0.20% Scotland 1–6 Morocco · 0.04% Scotland 1–7 Morocco · 0.01% 35% 2 Scotland 2–0 Morocco · 3.84% 3.8 Scotland 2–1 Morocco · 4.52% 4.5 Scotland 2–2 Morocco · 2.66% 2.7 Scotland 2–3 Morocco · 1.04% 1.0 Scotland 2–4 Morocco · 0.31% Scotland 2–5 Morocco · 0.07% Scotland 2–6 Morocco · 0.01% Scotland 2–7 Morocco · 0.00% 12% 3 Scotland 3–0 Morocco · 0.91% 0.9 Scotland 3–1 Morocco · 1.07% 1.1 Scotland 3–2 Morocco · 0.63% 0.6 Scotland 3–3 Morocco · 0.25% Scotland 3–4 Morocco · 0.07% Scotland 3–5 Morocco · 0.02% Scotland 3–6 Morocco · 0.00% Scotland 3–7 Morocco · 0.00% 3% 4 Scotland 4–0 Morocco · 0.16% Scotland 4–1 Morocco · 0.19% Scotland 4–2 Morocco · 0.11% Scotland 4–3 Morocco · 0.04% Scotland 4–4 Morocco · 0.01% Scotland 4–5 Morocco · 0.00% Scotland 4–6 Morocco · 0.00% Scotland 4–7 Morocco · 0.00% 1% 5 Scotland 5–0 Morocco · 0.02% Scotland 5–1 Morocco · 0.03% Scotland 5–2 Morocco · 0.02% Scotland 5–3 Morocco · 0.01% Scotland 5–4 Morocco · 0.00% Scotland 5–5 Morocco · 0.00% Scotland 5–6 Morocco · 0.00% Scotland 5–7 Morocco · 0.00% 0% 6 Scotland 6–0 Morocco · 0.00% Scotland 6–1 Morocco · 0.00% Scotland 6–2 Morocco · 0.00% Scotland 6–3 Morocco · 0.00% Scotland 6–4 Morocco · 0.00% Scotland 6–5 Morocco · 0.00% Scotland 6–6 Morocco · 0.00% Scotland 6–7 Morocco · 0.00% 0% 7 Scotland 7–0 Morocco · 0.00% Scotland 7–1 Morocco · 0.00% Scotland 7–2 Morocco · 0.00% Scotland 7–3 Morocco · 0.00% Scotland 7–4 Morocco · 0.00% Scotland 7–5 Morocco · 0.00% Scotland 7–6 Morocco · 0.00% Scotland 7–7 Morocco · 0.00% 0%

Cells show P(exact scoreline); the right column and bottom row are the marginal totals P(Scotland scores k) and P(Morocco scores k). Grid runs 0–7 goals per side; the 8–10-goal tail holds 0.00% of the mass and is omitted from the cells (not from the totals).

The grid makes Morocco favourites at 45.9%, with a 32.8% draw. The single most-likely scoreline is 0–1 (16.8%), but no exact score clears 17% — the distribution is broad, as it should be.

Source · Oxford Football Forecasting model

Win · draw · loss

🏴󠁧󠁢󠁳󠁣󠁴󠁿 Scotland 21.3% Draw 32.8% 🇲🇦 Morocco 45.9%

Rounded values sum to exactly 100%.

Expected goals (λ)

🏴󠁧󠁢󠁳󠁣󠁴󠁿Scotland 0.71
🇲🇦Morocco 1.18

Poisson means feeding the grid; combined expected goals 1.89.

29.3% Over 2.5 goals P(3 or more goals in the match)
70.7% Under 2.5 goals complement of over-2.5
36.2% Both teams to score P(each side scores ≥ 1)
0–1 Most-likely scoreline modal exact score · 16.8%
Gillette Foxborough, USA
Heat index 29°C apparent temperature (June–July)
Max temperature 27°C June–July daily high
Humidity 74% relative humidity
Altitude 83m above sea level

Source · Open-Meteo & venue records. Travel and time-zone exposure are per-team — see each side's dossier.

1,782 Elo rating 1,827
1.87 Recent NT form 2.47
€272M Squad value €509M
0.322 Squad form (global) 0.218
0.589 Fitness readiness 0.624
+0.30 Decoupling g −0.58

Morocco carry the Elo edge (45 points). On the decoupling axis, Scotland is the side whose squad is valued higher relative to its record.

How a single-match forecast is built

The pairing is scored by the ensemble — Dixon-Coles bivariate-Poisson, the Bayesian hierarchical model and the global LightGBM-Poisson, log-pooled — yielding the 11×11 scoreline grid above. Win/draw/loss, expected goals (λ), over-2.5 and both-teams-to-score are all marginals of that one grid, so they are mutually consistent by construction. The strength inputs shown here feed the models; the forecast is their pooled output, not a manual weighting of these rows. The model matches the market out-of-sample (RPS 0.1891 vs 0.1905); it does not significantly beat it at n = 3. The ensemble, in full →